Przeglądanie według Temat "analiza regionalna"
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Pozycja Dynamic Panel Models in the Analysis of Healthcare Functioning in Groups of Similar Powiats(Wydawnictwo Uniwersytetu Rzeszowskiego, 2015) Rozpędowska-Matraszek, DanutaThe econometric analyss identifies factors which characterise the specificity of the poviats in a relevant way and influence on the human resources (working doctors) in the groups of poviats under study. Mention was made of factors, which affect the level of employment of doctors’ in poviats, although the strength of their impact was different. In Poland, the dissimilarity between poviats is a result of processes taking place in particular ar-eas of country and translate into a permanent lack of coherence, clearly seen in healthcare, despite of expectations of uniformity. The quality of the services provided by the public facilities and increasing role of social capital become an essential component and a source of competitive advantage of each region.Pozycja Regional household poverty and mobility analysis – a transition probability approach(Wydawnictwo Uniwersytetu Rzeszowskiego, 2020) Mowczan, DamianThe main objective of this paper was to estimate and analyse transition-probability matrices for all 16 of Poland’s NUTS-2 level regions (voivodeship level). The analysis is conducted in terms of the transitions among six expenditure classes (per capita and per equivalent unit), focusing on poverty classes. The period of analysis was two years: 2015 and 2016. The basic aim was to identify both those regions in which the probability of staying in poverty was the highest and the general level of mobility among expenditure classes. The study uses a two-year panel sub-sample of unidentified unit data from the Central Statistical Office (CSO), specifically the data concerning household budget surveys. To account for differences in household size and demographic structure, the study used expenditures per capita and expenditures per equivalent unit simultaneously. To estimate the elements of the transition matrices, a classic maximum-likelihood estimator was used. The analysis used Shorrocks’ and Bartholomew’s mobility indices to assess the general mobility level and the Gini index to assess the inequality level. The results show that the one-year probability of staying in the same poverty class varies among regions and is lower for expenditures per equivalent units. The highest probabilities were identified in Podkarpackie (expenditures per capita) and Opolskie (expenditures per equivalent unit), and the lowest probabilities in Kujawsko-Pomorskie (expenditures per capita) and Małopolskie (expenditures per equivalent unit). The highest level of general mobility was noted in Małopolskie, for both categories of expenditures.